Triple
T4034793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Games of the III Olympiad |
E83801
|
entity |
| Predicate | hasHostContinentFirstTimeForCountry |
P12119
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Games of the III Olympiad, hasHostContinentFirstTimeForCountry, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostContinentFirstTimeForCountry Context triple: [Games of the III Olympiad, hasHostContinentFirstTimeForCountry, yes]
-
A.
firstTimeHostedInContinent
chosen
Indicates that an event or activity is being held in a particular continent for the first time in its history.
-
B.
secondTimeHostedInContinent
Indicates that an event is being hosted in a given continent for the second time.
-
C.
formerHostCountry
Indicates that one entity was previously the host country for another entity, but no longer holds that role.
-
D.
visitedContinent
Indicates that an entity has traveled to and spent time on a particular continent.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.